-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC5_Pa
> nelA.log
  log type:  text
 opened on:  19 Feb 2024, 03:18:33

. 
. wildbootstrap regress detection_survey treatment final_stratum_id1-final_stratum_
> id13 b_detection_survey, cluster(uid_cluster) reps(5000) rseed(13915183)   

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30.........40.. done (42)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
lower confidence bound not found
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for b_detection_survey = 0 ...
Computing confidence interval for b_detection_survey
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 1,637
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  25.2
                                                                  max =    28
-----------------------------------------------------------------------------
        detection_survey |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.1028447   -0.73   0.515    -.410266    .2189555
   final_stratum_id1 = 0 |  -.3878974   -0.58   0.708   -2.699873    1.950873
   final_stratum_id2 = 0 |    .567504    0.75   0.616   -1.256615    2.679412
   final_stratum_id3 = 0 |   .5099305    0.76   0.714   -2.483504     3.04096
   final_stratum_id4 = 0 |   2.414659    3.83   0.184   -14.72396    278.8261
   final_stratum_id5 = 0 |   -.778893   -1.19   0.602   -2.285879     1.22779
   final_stratum_id6 = 0 |  -1.053476   -1.61   0.318   -2.591868    .5549141
   final_stratum_id7 = 0 |  -.1917974   -0.29   0.720   -7.446136     4.15761
   final_stratum_id8 = 0 |  -.9311274   -1.44   0.458   -2.302081    .3617777
   final_stratum_id9 = 0 |  -1.029317   -1.61   0.353   -2.387214    .3068219
  final_stratum_id10 = 0 |  -.9285026   -1.40   0.450   -2.568597     .979496
  final_stratum_id11 = 0 |   -.881963   -1.34   0.485   -2.290922    .6309851
  final_stratum_id12 = 0 |  -.3658241   -0.51   0.794           .    53.03357
  final_stratum_id13 = 0 |  -1.064246   -1.65   0.338   -2.641279    .5777983
  b_detection_survey = 0 |   .3174254    3.53   0.002    .1133207    .5255336
-----------------------------------------------------------------------------

. wildbootstrap regress detection_survey treatment final_stratum_id1-final_stratum_
> id13 b_detection_survey $hw_controls_b, cluster(uid_cluster) reps(5000) rseed(139
> 15183)   
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for b_detection_survey = 0 ...
Computing confidence interval for b_detection_survey
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                             Number of obs      = 1,637
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  25.2
                                                                  max =    28
-----------------------------------------------------------------------------
        detection_survey |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.1591453   -0.85   0.527   -.6359482    .3478605
   final_stratum_id1 = 0 |  -.4184699   -0.55   0.670   -2.574048    8.669354
   final_stratum_id2 = 0 |   .5685548    0.69   0.687   -2.286802    2.809808
   final_stratum_id3 = 0 |   .4382597    0.59   0.773   -2.322484    3.243301
   final_stratum_id4 = 0 |   2.529141    3.50   0.192   -7.708252    54.08237
   final_stratum_id5 = 0 |  -.7637189   -1.02   0.566   -2.567692    1.469167
   final_stratum_id6 = 0 |  -1.076701   -1.45   0.380   -3.239209    .8668606
   final_stratum_id7 = 0 |  -.1833227   -0.25   0.785   -3.124578    2.169076
   final_stratum_id8 = 0 |  -.8738961   -1.13   0.514    -2.96089    1.008112
   final_stratum_id9 = 0 |  -1.106799   -1.54   0.391   -2.932215     .396249
  final_stratum_id10 = 0 |  -.9283756   -1.26   0.527   -2.970173    .8195762
  final_stratum_id11 = 0 |  -.8172754   -1.13   0.528   -2.693396    .8628361
  final_stratum_id12 = 0 |  -.2184807   -0.28   0.816   -3.243108    2.876488
  final_stratum_id13 = 0 |  -1.121678   -1.58   0.458   -3.040851    .9385719
  b_detection_survey = 0 |   .3056192    3.65   0.002    .1178305    .4963817
              b_age_ = 0 |    .017361    1.54   0.195   -.0098336    .0447958
      b_jobs_bef_oa_ = 0 |  -.1008966   -0.53   0.680    -.569687    .3565616
               male_ = 0 |   .1067311    0.47   0.702   -.4748261    .7387641
          gen_caste_ = 0 |   .0965817    0.54   0.659   -.3492664    .5417927
              hindu_ = 0 |  -.0355055   -0.15   0.908   -.6856951    .6182059
     twelveandbelow_ = 0 |   .1596242    0.32   0.850   -6.779051    8.678897
           tertiary_ = 0 |   .3483963    0.68   0.669   -4.867339     6.42236
           hhd_size_ = 0 |   .0563798    1.65   0.202   -.0299771    .1513472
           ownhouse_ = 0 |    .012731    0.08   0.969   -.3575599    .3852718
 twelveandbelow_dum_ = 0 |   .1962758    0.33   0.825    -3.20681     3.66119
       hhd_size_dum_ = 0 |   .3556726    0.79   0.552   -1.587297     2.43713
-----------------------------------------------------------------------------

. 
. wildbootstrap regress detection_oa treatment final_stratum_id1-final_stratum_id13
>  b_detection_oa, cluster(uid_cluster) reps(5000) rseed(13915183)   

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.........40.........50....... done 
> (57)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30........ done (38)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30.........40.. done (42)
  Upper bound: .........10.........20.........30.........40.........50.........60..
> ... done (65)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for b_detection_oa = 0 ...
Computing confidence interval for b_detection_oa
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 1,759
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    13
Error weight: Rademacher                                          avg =  27.1
                                                                  max =    30
-----------------------------------------------------------------------------
            detection_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.7656025   -2.97   0.007   -1.344947   -.1908285
   final_stratum_id1 = 0 |  -.8702194   -0.56   0.685   -4.465095    3.290144
   final_stratum_id2 = 0 |  -1.287159   -0.77   0.568   -5.758863     2.74967
   final_stratum_id3 = 0 |   1.999438    1.24   0.620   -3.160181    8.004554
   final_stratum_id4 = 0 |   3.803656    2.35   0.181   -3.511963     10.1686
   final_stratum_id5 = 0 |  -1.009333   -0.66   0.672   -3.846108      2.3263
   final_stratum_id6 = 0 |  -2.121654   -1.38   0.493   -6.018287    1.513755
   final_stratum_id7 = 0 |  -.9102205   -0.56   0.674   -5.984261     90.8396
   final_stratum_id8 = 0 |  -1.421312   -0.93   0.578   -4.183584     1.47619
   final_stratum_id9 = 0 |  -1.419537   -0.90   0.632   -4.744576      2.0921
  final_stratum_id10 = 0 |  -1.831117   -1.16   0.599   -5.286678     1.73128
  final_stratum_id11 = 0 |    -1.7295   -1.12   0.542   -5.197266    1.570765
  final_stratum_id12 = 0 |  -1.025477   -0.68   0.583   -190.3225    15.18891
  final_stratum_id13 = 0 |  -1.350908   -0.88   0.574   -5.161596    2.715572
      b_detection_oa = 0 |    .670017    6.57   0.000    .4396248    .8876517
-----------------------------------------------------------------------------

. wildbootstrap regress detection_oa treatment final_stratum_id1-final_stratum_id13
>  b_detection_oa $hw_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)  
>  
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.........30.........40..... done (45)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30..... done (35)
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for b_detection_oa = 0 ...
Computing confidence interval for b_detection_oa
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.... done (24)

Wild cluster bootstrap                             Number of obs      = 1,759
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    13
Error weight: Rademacher                                          avg =  27.1
                                                                  max =    30
-----------------------------------------------------------------------------
            detection_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.8631636   -2.99   0.025   -1.592311   -.0966725
   final_stratum_id1 = 0 |  -.7211132   -0.45   0.596   -4.584121    19.35763
   final_stratum_id2 = 0 |  -1.467387   -0.86   0.546   -6.818799    2.704821
   final_stratum_id3 = 0 |   2.192943    1.35   0.650   -1.907101    22.69176
   final_stratum_id4 = 0 |    3.74694    2.26   0.224   -4.720209    10.77029
   final_stratum_id5 = 0 |  -.4379316   -0.27   0.724   -4.051309    5.318484
   final_stratum_id6 = 0 |  -2.163232   -1.34   0.489   -6.696241    1.801658
   final_stratum_id7 = 0 |  -1.246633   -0.75   0.605   -7.242477    3.988323
   final_stratum_id8 = 0 |  -1.163745   -0.73   0.588   -4.953363     2.64434
   final_stratum_id9 = 0 |  -1.115977   -0.68   0.606   -5.249906    2.634003
  final_stratum_id10 = 0 |   -1.60108   -0.98   0.615   -5.841841    2.244461
  final_stratum_id11 = 0 |  -1.652159   -1.04   0.549   -5.747277     1.97199
  final_stratum_id12 = 0 |  -1.337559   -0.83   0.548   -7.994583     5.47372
  final_stratum_id13 = 0 |  -1.614683   -1.03   0.552   -5.737902    2.888836
      b_detection_oa = 0 |    .661312    7.37   0.000    .4394439    .8587297
              b_age_ = 0 |  -.0008149   -0.04   0.971   -.0518877    .0476297
      b_jobs_bef_oa_ = 0 |   .1949054    0.56   0.680   -.6665135    1.063346
               male_ = 0 |  -.2950614   -0.82   0.505   -1.212761    .6981484
          gen_caste_ = 0 |  -.0268413   -0.10   0.928   -.7724676    .6233774
              hindu_ = 0 |   .1223455    0.35   0.781   -.8001957    .9507577
     twelveandbelow_ = 0 |  -.3106533   -0.66   0.608   -4.083739    3.785372
           tertiary_ = 0 |  -.2468806   -0.43   0.735   -3.896342    3.171819
           hhd_size_ = 0 |   .0213328    0.38   0.748   -.1187178    .1788649
           ownhouse_ = 0 |   .7678427    2.41   0.055   -.0217949    1.618616
 twelveandbelow_dum_ = 0 |  -.7090071   -1.09   0.484    -4.11528    3.316321
       hhd_size_dum_ = 0 |  -1.263933   -1.42   0.327   -5.330167    2.202942
-----------------------------------------------------------------------------

. 
. wildbootstrap regress detection_diff_oa treatment final_stratum_id1-final_stratum
> _id13 b_detection_diff_oa, cluster(uid_cluster) reps(5000) rseed(13915183)   

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30...... done (36)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30.........40....... done (47)
  Upper bound: .........10.........20.........30..... done (35)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.........40..... done (45)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for b_detection_diff_oa = 0 ...
Computing confidence interval for b_detection_diff_oa
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 1,637
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  25.2
                                                                  max =    28
-----------------------------------------------------------------------------
       detection_diff_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.8368704   -3.79   0.000   -1.345869   -.3627984
   final_stratum_id1 = 0 |  -.4657112   -0.49   0.719   -3.780498    5.768784
   final_stratum_id2 = 0 |  -.8315765   -0.85   0.527   -3.833208    1.323178
   final_stratum_id3 = 0 |   1.496999    1.51   0.357   -1.934122    7.159493
   final_stratum_id4 = 0 |   2.344281    2.08   0.173   -2.221182    5.870526
   final_stratum_id5 = 0 |  -.5985211   -0.69   0.623   -3.367649    4.599981
   final_stratum_id6 = 0 |  -.7702527   -0.89   0.540    -3.05949    1.395527
   final_stratum_id7 = 0 |  -.1338469   -0.12   0.819   -5.568247    260.1726
   final_stratum_id8 = 0 |  -1.066921   -1.23   0.595   -3.949923    1.331641
   final_stratum_id9 = 0 |  -.8035782   -0.92   0.606   -2.657996    1.167163
  final_stratum_id10 = 0 |  -1.188423   -1.32   0.534   -3.459546    1.169691
  final_stratum_id11 = 0 |  -1.082082   -1.23   0.585   -3.480215    1.268831
  final_stratum_id12 = 0 |  -.9349736   -1.09   0.573   -1121.697    43.38588
  final_stratum_id13 = 0 |  -.9594714   -1.12   0.567   -3.179368    1.402663
 b_detection_diff_oa = 0 |   .4206027    4.20   0.000     .198488    .6375747
-----------------------------------------------------------------------------

. wildbootstrap regress detection_diff_oa treatment final_stratum_id1-final_stratum
> _id13 b_detection_diff_oa $hw_controls_b, cluster(uid_cluster) reps(5000) rseed(1
> 3915183)   
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10....... done (17)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.........40........ done (48)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20.........30.........40 done (40)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.........30.. done (32)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for b_detection_diff_oa = 0 ...
Computing confidence interval for b_detection_diff_oa
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Wild cluster bootstrap                             Number of obs      = 1,637
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  25.2
                                                                  max =    28
-----------------------------------------------------------------------------
       detection_diff_oa |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.8887155   -3.86   0.008   -1.485432   -.3057457
   final_stratum_id1 = 0 |  -.4562678   -0.49   0.696   -3.101206    10.06317
   final_stratum_id2 = 0 |  -1.070911   -1.11   0.453   -4.340015    1.137584
   final_stratum_id3 = 0 |   1.679306    1.74   0.296   -1.012126     13.3637
   final_stratum_id4 = 0 |   2.285238    2.15   0.190   -2.523917    5.887133
   final_stratum_id5 = 0 |  -.1574764   -0.18   0.811   -2.620595    4.572381
   final_stratum_id6 = 0 |  -1.015774   -1.09   0.507   -3.738593    1.286492
   final_stratum_id7 = 0 |  -.6663633   -0.57   0.727   -4.036076    2.390352
   final_stratum_id8 = 0 |  -1.133009   -1.25   0.501   -3.422873    1.275832
   final_stratum_id9 = 0 |   -.550432   -0.60   0.658   -3.087847    2.148392
  final_stratum_id10 = 0 |  -1.137008   -1.20   0.535   -4.159183    3.066719
  final_stratum_id11 = 0 |  -1.221664   -1.29   0.424   -3.977705    1.463834
  final_stratum_id12 = 0 |  -1.727572   -1.85   0.272   -5.841438    2.295512
  final_stratum_id13 = 0 |  -1.338554   -1.52   0.468   -3.772013    1.160903
 b_detection_diff_oa = 0 |   .3717075    4.82   0.000    .1887255     .546262
              b_age_ = 0 |  -.0115062   -0.59   0.642   -.0574512    .0363178
      b_jobs_bef_oa_ = 0 |   .3974579    1.46   0.213   -.2310289    1.092869
               male_ = 0 |  -.3979614   -1.19   0.404    -1.33931     .558948
          gen_caste_ = 0 |   .0210234    0.08   0.932   -.6205053    .5600917
              hindu_ = 0 |   .3131682    1.08   0.393   -.4840718    .9608503
     twelveandbelow_ = 0 |  -.3521526   -1.23   0.291   -2.626423    1.342612
           tertiary_ = 0 |  -.5993686   -1.56   0.238   -2.803545     1.45058
           hhd_size_ = 0 |  -.0337154   -0.71   0.577   -.1510438    .0847807
           ownhouse_ = 0 |    .739313    2.50   0.053     -.01057    1.547532
 twelveandbelow_dum_ = 0 |  -.8221884   -2.71   0.068   -1.979633    .1350375
       hhd_size_dum_ = 0 |  -1.302858   -1.53   0.334    -4.71379      1.1075
-----------------------------------------------------------------------------

. 
. log close
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC5_Pa
> nelA.log
  log type:  text
 closed on:  19 Feb 2024, 03:19:35
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